The Judges Reference and the Secession Reference at Twenty: Reassessing the Supreme Court of Canada's Unfinished Unwritten Constitutional Principles Project
Bibliographic record
Abstract
Upon the 20-year anniversary of the Reference re Remuneration of Judges of the Provincial Court of Prince Edward Island and the Reference re Secession of Quebec, the author reflects on the methodology utilized by the Supreme Court of Canada to reach dramatic conclusions on the basis of unwritten constitutional principles in these cases. An analysis of several decisions leading up to the Judges Reference and the Secession Reference establish a pattern of reasoning from the abstract to the concrete, from unwritten principle to unwritten rule. However, these decisions lack in methodological self-reflection as they utilize unwritten principles to reach particular outcomes without situating the analysis in a larger interpretive framework. The author seeks to clarify this uncertainty by suggesting a methodological framework entitled “reasoning from constitutional essentials.” This methodology can assist in understanding the analytical framework used by courts to identify and reach conclusions on the basis of unwritten constitutional principles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.044 | 0.060 |
| Scholarly communication | 0.029 | 0.006 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".